University of North Carolina Wilmington

Cameron Hall 240-L
University of North Carolina Wilmington
601 South College Road
Wilmington, NC 28403 - 5945

Prof. Dr. Peter Schmidt
Economics & Statistics
 Spring semester 2008

20 May 2008

Statistical Analysis for Business and Economics QMM 280

Syllabus

Formula by P. Schmidt (German - English)

All quizzes and tests are closed book exams, so no material is permitted except for one formula sheet per person (ONE page 8 1/2 X 11 with own selection of formula, no text). All formula sheets must be turned in, so make sure to make a copy for you in advance. Also a calculator is permitted ---> mobil phones are strictly forbidden!!

Schedule (preliminary - changes may occur and will be announced in class and in the following table):

No
Week
Day Class Notes Class Material (print in advance) Topics
Further material / solutions
1
1

Thur, 10 January

 
-
Overview of course + case study (sample data)

 - case study
- Welcome presentation

- result 003 and 004

2
2
Tue, 15 January Chap. 1
-
First Introduction to Descriptive Statistics
  by analyzing the data of the case study / using Excel
3
2
Thur, 17 January Chap. 1 No class - please use the time to work on the tasks (see task 1 and table below) either with your own laptops or in a computer lab in your teams. The results are to be presented next week.
4
3
Tue, 22 January Chap. 2
Introduction to Descriptive Statistics
5
3
Thur, 24 January Chap. 2
Introduction to Descriptive Statistics (cont'd)
Measures of Central Tendency
6
4
Tue, 29 January Chap. 3 Measures of Central Tendency
Measures of Dispersion
 
7
4
Thur, 31 January Chap. 3
Measures of Dispersion
8
5
Tue, 5 February Chap. 4  

Quiz 1 (chapter 1-3)
                            [to prepage revise the chapters and solve all problems of the first 3 chapters -> ]
Probability Theory

- quiz 1 plus some solutions

- results course 003 and 004

9
5
Thur, 7 February Chap. 4 + 5 please prepare for today (see right colum)
     ----->

Probability Theory       and

Discrete Random Variables

Chapter 4,
- 4d (Tree diagram),
- 4e (prob. table and
- 4 f for our dice example
    E1: even, E2: >= 5
-> Pr(E1 or E2) = ??
10
6

Tue, 12 February

Chap. 5   Discrete Probability Distributions Binomial Distribution table
11
6
Thur, 14 February Chap. 5  
- no class due to a business trip (conference) -
 
12
7
Tue, 19 February Chap. 6   Discrete and Continuous Probability Distributions Binomial Distribution table
13
7
Thur, 21 February Chap. 6  

Continuous Probability Distributions
+ test preparation - looking forward to YOUR questions

 
14
8
Tue, 26 February    
- no class due to Business week 2008 (please attend the presentations) -
 
15
8
Thur, 28 February     Test 1 -> up to Binomial Distribution (Formula, Table, ...)
(chapter 1-5)

- Test 1 and solutions

- Results as of 13 March 2008 (Points changed to a maximum of 55) - overview as pivot tables

16
9
Tue, 11 March Chap. 6  

Continuous Probability Distributions

Synopsis of chapters in old and new classnotes (+ info for Z tables)
17
9
Thur, 13 March Chap. 6   Continuous Probability Distributions

Z table for all students (replacing the tables from both versions of the classnotes)

18
10
Tue, 18 March Chap. 6,7   1) Your questions about chapter 6 -- esp. these solutions ------->
2) Quiz 2 (chapter 4-6) (30 minutes)

Solutions to the examples from chapter 6 - make sure that you understand the solutions and the way to find them, you need this for the quiz!
--> Quiz 2 + solutions + results + overview

19
11
Tue, 25 March  Chap. 8   Continuous Probability Distributions + Sampling Distribution  
20
11
Thur, 27 March Chap. 9
- no class (due to illness) -
21
12
Tue, 1 April Chap. 8   Sampling Distribution + Interval estimation
22
12
Thur, 3 April Chap. 8+9   Interval estimation + Hypothesis Testing
23
13
Tue, 8 April Chap. 9   Hypothesis Testing
24
13
Thur, 10 April Chap. 9  

Hypothesis Testing 
         + YOUR questions (preparation for quiz 3)

25
14
Tue, 15 April Chap. 8-9
+ 10
Sheet "Regression Analysis"

Quiz 3 (chapter 8-9)

+ Simple Linear Regression

The results of quiz 3 are disappointing!
I'd like to dicuss the reasons for this in class so please have a look at the quiz and the solutions. I "curved" the result, taking away two points from the maximum because in question 3 (22%) and question 7 (43%) most of you gave a wrong answer - why? (The points achieved in these question still count anyway)
--> Quiz 3 + solutions + results + overview
26
14
Thur, 17 April Chap. 10   Linear Regression, Prediction, and Correlation
27
15
Tue, 22 April Chap. 10   Applications of Linear Regression  
28
15
Thur, 24 April    (all)   Review, test preparation - looking forward to YOUR questions ;-)
Applications of Linear Regression
 
    please check UNCW website     Test 2 (chapter 7 - 10)

--> Test 2 + solutions + final results + overview
The results have also been submitted to UNCW, you find them in the (SeaNet) system.

 

TEAMwork: (most of the teamwork will be assigned homework but some might take place in class).

           Team:
Date:
(All students)
1
2
3
4
5
6
  003 Anaya, Alina M. Baric, Michelle B. Boston, Ashley M. Bowman, Lucas J. Brooks, Ashton L. Caines, Jeffrey N. Camberos, Julia Camp, Xavier N. Carlton, William B. Coffey, Bradford J. Covington, Jarrod C. Denning, Christopher D. Dotson, Hannah R. Erexson, Kevin M. Fairchild, Mallory L. Ferrer, Nolan A. Fields, Phillip K. Fuller, Eric M. Habbal, Zeina T. Hazlett, Lauren A. Hill, Anya M. Hobbs, Meagan N. Hurley, Heather A. Isaac, Carolyn A. Jenkins, Bethany M. Jeralds, Darion T. King, Krista L. Laurore, Joshua E. Lewis, Emily L. Liverman, Christopher K. Michaels, Alesia C. Middlebrooks, Travis R. Nelson, James A. Perry, Vivian M. Pircher, Chris M. Polomik, Susan M. Ragan, Cassie M. Reed, Emma C. Richardson, Kristin L. Roberts, Ryan K. Rooney, Michael C. Smith, Matthew Wiggins, Ryan H. Williams, Laura M. Zenahlik, Kaitlyn B.
  004 Adams, Michelle L.
Anderson, Sean R.
Boles, Zachary L.
Bradshaw, Carly N.
Brown, Michael D.
Bryan, Chase G.
Burns, Meghan C.
Cameron, Max A.
Camp, Christopher S.
Clair, Kathryn G.
Clark, Alicia N.
Collins, Jaron D.
Edgerton, Johnathan D.
Fianchino, Erica M.
Fletcher, Chrystal S.
Gabel, Megan L.
Giebel, Zachary L.
Gooch, Larry G.
Herrel, Lauren E.
Hicks, Allen F.
Hoover, John W.
Huntley, Evan D.
Huxhold, Brianne E.
Jenson, Mary B.
Jones, Stefanie R.
Kelly, Brandon L.
Laskody, George A.
Lewis, Amanda L.
Long, Morgan E.
Lupton, David W.
Makla, Nathan A.
Murphy, Sarah A.
Nixon, Jerel W.
Pileri, Evan M.
Porter, Nathan C.
Price, Carlton B.
Shepherd, Christina M.
Smith, Katelyn

St. John, Shauna J.
Thornton, Allyson T.
Trebat, Randall S.
Vaughan, Beverly D.
Waters, Katherine E.
Wattay, Malia A.
Weaver, Erin

Goldman, Maggie A

Tue, 22 January Please answer questions of case study - see task 1
1. PBC
(Tuesday)
1. PBC
(Thursday)
2. UABC
(Tuesday)
2. UABC
(Thursday)
3. Lecturer P.
(Tuesday)
3. Lecturer P.
(Thursday)
Tue, 29 January  (5 Feb no tasks due to quizz)
29 Jan
no task
as already
done
last
week

Tue, 19 February

(in brackets pages in old version of class notes) 2. Example (InterRangeCorp) p. 30 (7. p 24) Sample data sets: compare the first 2 sets (#1 and #2): draw a scatter and a line plot for both and find a way to visualize the mean and the disperson p 32/32 (p 26) Sample data sets: compare the last 2 sets (#2 and #3): draw a scatter and a line plot for both and find a way to visualize the mean he disperson p 32/32 (p 26)      
Thur, 21 February         13. Examples of Probability a, page 45 (p 34) 13. Examples of Probability b, page 46 (p 35) 13. Examples of Probability c, page 47 (p 36)

Tue, 25 March

postponed to
  -> Tue, 1 April

       
Find in the Normal Distribution table AND sketch the area in a diagram:
P(z > 1.76) =
P(-2.40 < z < 1.23) =
P(-1.96 < z < 1.96) =
P( z < -2.96) =
Example Problem on page 63 "Almation Inc"
(old version page 52)
Example Problem on page 64 "Dig Deep"
(old version page 53)
Thur, 10 April Chap 8 Exercises 1-7 !
ALL of you should do all exercises! The teams are expcted to explain the answers     (p78/70)
1, 3 2, 5 7,3      
Thur, 24 April     ALL students should work on ALL tasks of
chapter 10
 

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